The future of statistics and data science
Sofia C. Olhede and
Patrick J. Wolfe
Statistics & Probability Letters, 2018, vol. 136, issue C, 46-50
Abstract:
The ubiquity of sensing devices, the low cost of data storage, and the commoditization of computing have together led to a big data revolution. We discuss the implication of this revolution for statistics, focusing on how our discipline can best contribute to the emerging field of data science.
Keywords: Algorithmic transparency; Data analysis; Data governance; Predictive analytics; Statistical inference; Structured and unstructured data (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:136:y:2018:i:c:p:46-50
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DOI: 10.1016/j.spl.2018.02.042
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